MicroCloud Hologram Inc. (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, launched a simulator that fully leverages the unique advantages of FPGA (Field-Programmable Gate ...
Abstract: Fully Homomorphic Encryption (FHE) allows computations to be performed on encrypted data, providing a promising solution for privacy-preserving computing. As a pivotal advancement in FHE, ...
This paper presents the design and FPGA implementation of a high-throughput BCH (n,k) encoder and decoder using a fully pipelined architecture. Unlike conventional designs based on finite state ...
Abstract: Wireless communication forms the backbone of our increasingly connected world. To address the growing demand for faster, more reliable, and adaptive wireless systems, researchers are ...
Abstract: Hardware accelerators based on Field-Programmable Gate Arrays (FPGAs) and System-on-Chip (SoC) platforms continue to be adopted for performance- and energy-constrained computing due to their ...
With the continuous expansion of highway networks in recent years, the monitoring and repair of road diseases have become one of the important tasks in traffic management. Traditional manual ...
Abstract: The relevance of secure communication continues to grow alongside the increasing volume of data requiring protection. In this context, high-speed encryption plays a crucial role. This work ...
Abstract: Cryptography has played a crucial role in secure communication for centuries, evolving from classical ciphers like the Caesar Cipher to modern encryption techniques. The Data Encryption ...
Abstract: Precise and stable signal generators are critical components in modern radar systems, particularly for Active Electronically Scanned Array (AESA ...
Abstract: Human activity recognition (HAR) using channel state information (CSI) has gained significant attention for its potential in various IoT applications. This work introduces a lightweight 2D ...
Abstract: This paper presents the implementation and opti-mization of the SHA-256 algorithm on an FPGA platform, specif-ically on the Xilinx Artix-4 DDR board. The main objective is to enhance the ...
Abstract: The increasing prevalence of deep learning technologies has made it feasible to achieve efficient Convolutional Neural Network (CNN) inference on resourceconstrained edge devices, which has ...